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一种用于研究多变量适应的系统发育比较方法。

A phylogenetic comparative method for studying multivariate adaptation.

机构信息

Mathematical Sciences, Chalmers University of Technology and the University of Gothenburg, Gothenburg, Sweden.

出版信息

J Theor Biol. 2012 Dec 7;314:204-15. doi: 10.1016/j.jtbi.2012.08.005. Epub 2012 Aug 24.

Abstract

Phylogenetic comparative methods have been limited in the way they model adaptation. Although some progress has been made, there are still no methods that can fully account for coadaptation between traits. Based on Ornstein-Uhlenbeck (OU) models of adaptive evolution, we present a method, with R implementation, in which multiple traits evolve both in response to each other and, as in previous OU models, to fixed or randomly evolving predictor variables. We present the interpretation of the model parameters in terms of evolutionary and optimal regressions enabling the study of allometric and adaptive relationships between traits. To illustrate the method we reanalyze a data set of antler and body-size evolution in deer (Cervidae).

摘要

系统发育比较方法在模拟适应方面受到限制。尽管已经取得了一些进展,但仍然没有方法可以完全解释性状之间的协同适应。基于适应进化的 Ornstein-Uhlenbeck(OU)模型,我们提出了一种方法,并用 R 实现,其中多个性状既相互进化,又像以前的 OU 模型一样,对固定或随机进化的预测变量进化。我们根据进化和最优回归来解释模型参数,从而可以研究性状之间的异速和适应性关系。为了说明该方法,我们重新分析了鹿(Cervidae)的鹿角和体型进化数据集。

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